Enhancing AAV Viability Prediction: A Generalizable Fine-Tuning Framework with Large Language Model xTrimoPGLM

被引：0
|
作者：
Yang, Qirong [1 ]
Zou, Diming [1 ]
Guo, Yucheng [1 ]
Xu, Chenrui [1 ]
Marsic, Damien [2 ]
Cai, Zhongshan [2 ]
Liu, Yawen [2 ]
Xu, Ziyao [1 ]
Qu, Vicky [1 ]
Garces, Fernando [3 ]
Greisen, Per [3 ]
Ji, Qingzhou [2 ]
Song, Le [1 ]
机构：
[1] BioMap, Beijing, Peoples R China
[2] Porton Adv Solut Ltd, Suzhou, Peoples R China
[3] BioMap, Palo Alto, CA USA
来源：
MOLECULAR THERAPY | 2024年 / 32卷 / 04期
关键词：
D O I：
暂无
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
1469
引用
收藏
页码：693 / 694
页数：2
相关论文
共 50 条
  • [31] On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning
    Jin, Xisen
    Barbieri, Francesco
    Kennedy, Brendan
    Davani, Aida Mostafazadeh
    Neves, Leonardo
    Ren, Xiang
    2021 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES (NAACL-HLT 2021), 2021, : 3770 - 3783
  • [32] CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model
    Zhang, Kaiyan
    Ding, Ning
    Qi, Biqing
    Zhu, Xuekai
    Long, Xinwei
    Zhou, Bowen
    2023 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2023), 2023, : 9612 - 9637
  • [33] Fine-Tuning Large Language Models for Private Document Retrieval: A Tutorial
    Sommers, Frank
    Kongthon, Alisa
    Kongyoung, Sarawoot
    PROCEEDINGS OF THE 4TH ANNUAL ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL, ICMR 2024, 2024, : 1319 - 1320
  • [34] Large language models in Radiology: The importance of fine-tuning and the fable of the luthier
    Martin-Noguerol, Teodoro
    Lopez-Ubeda, Pilar
    Luna, Antonio
    EUROPEAN JOURNAL OF RADIOLOGY, 2024, 178
  • [35] Distributed Inference and Fine-tuning of Large Language Models Over The Internet
    Borzunov, Alexander
    Ryabinin, Max
    Chumachenko, Artem
    Baranchuk, Dmitry
    Dettmers, Tim
    Belkada, Younes
    Samygin, Pavel
    Raffel, Colin
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
  • [36] Fine-Tuning Large Enterprise Language Models via Ontological Reasoning
    Baldazzi, Teodoro
    Bellomarini, Luigi
    Ceri, Stefano
    Colombo, Andrea
    Gentili, Andrea
    Sallinger, Emanuel
    RULES AND REASONING, RULEML+RR 2023, 2023, 14244 : 86 - 94
  • [37] Fine-tuning large language models for rare disease concept normalization
    Wang, Andy
    Liu, Cong
    Yang, Jingye
    Weng, Chunhua
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2024, 31 (09) : 2076 - 2083
  • [38] Repeatability of Fine-Tuning Large Language Models Illustrated Using QLoRA
    Alahmari, Saeed S.
    Hall, Lawrence O.
    Mouton, Peter R.
    Goldgof, Dmitry B.
    IEEE ACCESS, 2024, 12 : 153221 - 153231
  • [39] Enhancing the security of edge-AI runtime environments: a fine-tuning method based on large language models
    Tang, Di
    Xiao, Peng
    Zheng, Tao
    Li, Xiang
    Yang, Cuibo
    WIRELESS NETWORKS, 2025, 31 (02) : 1825 - 1838
  • [40] Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning
    Zhang, Zhen-Ru
    Tan, Chuanqi
    Xu, Haiyang
    Wang, Chengyu
    Huang, Jun
    Huang, Songfang
    61ST CONFERENCE OF THE THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, ACL 2023, VOL 2, 2023, : 1239 - 1248
12345